IEEE

Physics-Aware Initialization Refinement in Code-Aided EM for Blind Channel Estimation

Abstract: This paper addresses the well-known local maximum problem of the expectation-maximization (EM) algorithm in blind inter-symbol interference (ISI) channel estimation. This problem primarily ...
IEEE

Joint Low-Rank and Sparse Bayesian Channel Estimation for Ultra-Massive MIMO Communications

Abstract: This letter investigates channel estimation for ultra-massive multiple-input multiple-output (MIMO) communications. We propose a joint low-rank and sparse Bayesian estimation (LRSBE) ...

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

World's largest quantum circuit simulation for quantum chemistry achieved on 1,024 GPUs

A joint research team between the Center for Quantum Information and Quantum Biology (QIQB) at The University of Osaka and ...

Quantum computers need vastly fewer resources than thought to break vital encryption

Building a utility-scale quantum computer that can crack one of the most vital cryptosystems—elliptic curves—doesn’t require ...
Hosted on MSN

Why travel prices seem to change every hour? Are you really getting the best deal?

Travel prices often appear unpredictable, but the reality is far more calculated. Airlines, hotels, and booking platforms now rely on dynamic pricing models instead of static charts. Each seat or room ...
Scientific Research Publishing

Integrating Multi-Agent Reinforcement Learning and Evolutionary Game Theory for Adaptive Virtual Bidding Strategies in Electricity Markets ()

As the electricity market is progressively liberalized, virtual bidding has emerged as a novel participation mechanism attracting increasing attention. This paper integrates evolutionary game theory ...